Listar GI-LYS - Artigos por autor "Vilares, David"

Mostrando ítems 1-13 de 13

    • A linguistic approach for determining the topics of Spanish Twitter messages 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (SAGE Publications & CILIP, 2015)
      [Abstract]: The vast number of opinions and reviews provided in Twitter is helpful in order to make interesting findings about a given industry, but given the huge number of messages published every day, it is important ...

    • A review on political analysis and social media 

      Vilares, David; Alonso, Miguel A. (Sociedad Española para el Procesamiento del Lenguaje Natural, 2016)
      [Abstract] In democratic countries, forecasting the voting intentions of citizens and knowing their opinions on major political parties and leaders is of great interest to the parties themselves, to the media, and to the ...

    • A syntactic approach for opinion mining on Spanish reviews 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Cambridge University Press, 2015-01)
      [Abstract]: We describe an opinion mining system which classifies the polarity of Spanish texts. We propose an NLP approach that undertakes pre-processing, tokenisation and POS tagging of texts to then obtain the syntactic ...

    • Una aproximación supervisada para la minería de opiniones sobre tuits en español en base a conocimiento lingüístico 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
      [Resumen]: En este artículo se describe un sistema para la clasificación de la polaridad de tuits escritos en español. Se adopta una aproximación híbrida, que combina conocimiento lingüístico obtenido mediante PLN con ...

    • Clasificación de polaridad en textos con opiniones en español mediante análisis sintáctico de dependencias 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
      [Resumen]: En este artículo se describe un sistema de minería de opiniones que clasifica la polaridad de textos en español. Se propone una aproximación basada en PLN que conlleva realizar una segmentación, tokenización y ...

    • Discovering Topics in Twitter About the COVID-19 Outbreak in Spain 

      Agüero-Torales, Marvin M.; Vilares, David; López-Herrera, Antonio G. (Sociedad Española de Procesamiento del Lenguaje Natural, 2021)
      [Resumen] En este trabajo, analizamos lo que los usuarios han estado discutiendo en Twitter durante el comienzo de la pandemia causada por el COVID-19. Concretamente, analizamos tres fases diferenciadas de la crisis del ...

    • How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis 

      Gómez-Rodríguez, Carlos; Alonso-Alonso, Iago; Vilares, David (Springer, 2019)
      [Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...

    • Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language 

      Agüero-Torales, Marvin M.; López-Herrera, Antonio G.; Vilares, David (Springer, 2023)
      [Abstract]: This paper focuses on text-based affective computing for Jopara, a code-switching language that combines Guarani and Spanish. First, we collected a dataset of tweets primarily written in Guarani and annotated ...

    • On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Wiley, 2015-09)
      [Abstract]: Millions of micro texts are published every day on Twitter. Identifying the sentiment present in them can be helpful for measuring the frame of mind of the public, their satisfaction with respect to a product, ...

    • Sentiment Analysis for Fake News Detection 

      Alonso, Miguel A.; Vilares, David; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021)
      [Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...

    • Supervised sentiment analysis in multilingual environments 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Elsevier, 2017-05)
      [Abstract]: This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing ...

    • The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets 

      Vilares, David; Thelwall, Mike; Alonso, Miguel A. (SAGE Publications & CILIP, 2015)
      [Abstract]: Twitter is an important platform for sharing opinions about politicians, parties and political decisions. These opinions can be exploited as a source of information to monitor the impact of politics on society. ...

    • Universal, unsupervised (rule-based), uncovered sentiment analysis 

      Vilares, David; Gómez-Rodríguez, Carlos; Alonso, Miguel A. (Elsevier, 2017-02)
      [Abstract]: We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) ...